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AI Engineer with 1+ years in Python, FastAPI & AI-powered applications.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Software Developer with hands-on experience designing scalable backend systems, REST APIs, and AI-powered applications using Python, FastAPI, and Django. Delivered measurable results including 30% faster SQL queries, 90% unit test coverage, and containerized deployments on Linux/Docker. Experienced in LLM integration, Retrieval Augmented Generation (RAG), and LangChain pipelines.
Marthandam College of Engineering and Technology
Bachelor of Engineering · Computer Science & Engineering
N/A – June 30, 2025
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Associate System Engineer
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Workcohol
Python Developer Intern
February 1, 2025 – May 31, 2025
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AK INFO PARK
Software Developer Intern
May 1, 2024 – October 31, 2024
India
Intelligent LLM Chatbot with RAG
June 28, 2026 – Present
• Built an end-to-end AI chatbot using LangChain, ChromaDB, and OpenAI LLMs with semantic search over 10,000+ document chunks at <500ms retrieval latency. • Implemented a full RAG pipeline (ingestion, chunking, embedding, vector storage, response synthesis), improving answer accuracy over vanilla LLM by 40%. • Exposed via FastAPI REST API, containerized with Docker; documented with OpenAPI/Swagger.
Botmaster Web Application - Legacy Modernization
June 28, 2026 – Present
• Migrated a monolithic desktop app to a scalable Django web platform supporting 200+ concurrent users. • Designed RESTful APIs and a PostgreSQL backend with ORM, reducing manual data entry time by 50%.
Cultural Fit Analysis
The candidate's project work, especially the 'Intelligent LLM Chatbot with RAG', aligns well with an AI Engineer role, indicating a strong interest and initiative in the field. Their experience across different companies and project types suggests adaptability. However, the limited professional experience (internships and a short associate role) means their long-term cultural fit and collaboration style are yet to be fully demonstrated in a senior capacity.
Soft Skills & Operational Fit
The candidate demonstrates a results-oriented approach with quantifiable achievements in their experience and projects. Their work on performance optimization, test coverage, and consistent deployments indicates an operational mindset. The project diversity suggests adaptability and a willingness to tackle different technical challenges.